Computation of VaR and VaR Contribution in the Vasicek portfolio credit loss model: A comparative study

Xinzheng Huang, C. Oosterlee, Mace Mesters
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引用次数: 23

Abstract

We compare various numerical methods for the estimation of the VaR and the marginal VaR contribution (VaRC) in the Vasicek one-factor portfolio credit loss model. The methods we investigate are the normal approximation, the saddlepoint approximation, a simplified saddlepoint approximation and importance sampling. We investigate each method in terms of speed, accuracy and robustness and in particular explore their abilities of dealing with exposure concentration.
Vasicek投资组合信用损失模型中VaR和VaR贡献的计算:比较研究
本文比较了Vasicek单因素投资组合信用损失模型中VaR和边际VaR贡献(VaRC)估计的各种数值方法。我们研究的方法有正态近似、鞍点近似、简化鞍点近似和重要抽样。我们在速度,准确性和鲁棒性方面研究了每种方法,特别是探索了它们处理暴露浓度的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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